2021
A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome
Yu Y, Zhang M, Shi X, Caram M, Little R, Mukherjee B. A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome. Statistics In Medicine 2021, 40: 1653-1677. PMID: 33462862, DOI: 10.1002/sim.8862.Peer-Reviewed Original ResearchConceptsComparative effectiveness researchEstimation of causal effectsPropensity score-based methodsBinary outcomesInsurance networksCausal effectsPropensity score methodsPropensity-based methodsConfounding biasContinuous outcomesPharmacy claimsEffectiveness researchObservational studySimulation studyAdverse outcomesPropensity scoreEmergency room
2020
Reflecting on “A Statistician in Medicine” in 2020
Dempsey W, Mukherjee B. Reflecting on “A Statistician in Medicine” in 2020. Statistics In Medicine 2020, 40: 42-48. PMID: 33368360, DOI: 10.1002/sim.8830.Peer-Reviewed Original Research
2019
Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies
Song Y, Zhou X, Zhang M, Zhao W, Liu Y, Kardia S, Roux A, Needham B, Smith J, Mukherjee B. Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies. Biometrics 2019, 76: 700-710. PMID: 31733066, PMCID: PMC7228845, DOI: 10.1111/biom.13189.Peer-Reviewed Original ResearchConceptsMediation analysisEffect of socioeconomic statusPotential mediatorsMulti-Ethnic StudyCausal mediation analysisCardiometabolic outcomesDNA methylation regionsSocioeconomic statusHigh-throughput technologiesMediation effectGenomic dataEpidemiological dataMethylation regionsHigh-dimensional mediatorsBayesian inference methodsContinuous shrinkage priorsHigh-dimensional settingsBayesian shrinkage estimatorsJoint analysisOutcomesShrinkage priorsPathwayNull caseInference methodsBiomedical studies
2013
Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference
Li S, Mukherjee B, Batterman S, Ghosh M. Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference. Biometrics 2013, 69: 925-936. PMID: 24289144, PMCID: PMC4108592, DOI: 10.1111/biom.12102.Peer-Reviewed Original ResearchConceptsSemi-parametric Bayesian approachLikelihood-based approachRandom nuisance parametersTime series analysisFrequentist literatureNuisance parametersDirichlet processInferential issuesConditional likelihoodPosterior distributionRisk functionTime seriesBayesian workFrequentist approachCase-crossover designSimulation studyRestrictive assumptionsBayesian approachTime Series DataLikelihood formulationBayesian methodsEquivalent resultsBayesian analysisCase-crossoverBayesian frameworkPropensity score‐based diagnostics for categorical response regression models
Boonstra P, Bondarenko I, Park S, Vokonas P, Mukherjee B. Propensity score‐based diagnostics for categorical response regression models. Statistics In Medicine 2013, 33: 455-469. PMID: 23934948, PMCID: PMC3911784, DOI: 10.1002/sim.5940.Peer-Reviewed Original ResearchConceptsRetrospective sampling designsChi-square distributionCategorical response modelsGoodness-of-fit statisticsPredicted response probabilitiesResponse regression modelsConditional distributionProportional odds modelAssess model adequacyData examplesSimulation studyVA Normative Aging StudyNormative Aging StudyPropensity scoreCumulative lead exposureOdds modelModel diagnosticsCase-control studyAssociated with diabetesBalance scoresResponse probabilityModel adequacyCohort studyAging StudyNumerical summaries